Evidence map›Paper›PMID 42534958›Full record

ArticleFrontiers in microbiology2026

Age-stratified respiratory viral detection patterns and exploratory environmental associations in a tertiary-care hospital testing cohort in Istanbul, Türkiye.

Murat Yaman, Arzu Ilki

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Murat YamanMedical Microbiology, Marmara University Pendik Training and Research Hospital, Istanbul, Türkiye.
Arzu IlkiMedical Microbiology, Marmara University Pendik Training and Research Hospital, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory viral detection in large metropolitan clinical settings is shaped by age, seasonality, testing behavior, and environmental context, but these dimensions are rarely evaluated together using multiplex molecular data. Istanbul's transcontinental position, dense urban structure, and heterogeneous climatic and air-quality conditions provide a relevant setting for integrated analysis of respiratory viral detection. This retrospective sample-level study analyzed 21,151 clinician-requested respiratory specimens tested by multiplex reverse transcription polymerase chain reaction in Istanbul, Türkiye, during 2022-2025. The study aimed to characterize age-stratified respiratory viral detection patterns and to explore short-term associations with meteorological and pollutant-specific air-quality exposures. Detection patterns were classified as single-target, dual-target, or ≥3-target positivity. ERA5-derived meteorological variables and station-based pollutant data were linked to specimen collection dates using a predefined incubation-informed 1-9-day pre-sampling exposure window. Environmental analyses were exploratory and interpreted using effect estimates, 95% confidence intervals, nominal

Indexed as

age-stratified analysisair qualitymeteorological exposuresmolecular co-detectionmultiplex RT-PCRrespiratory viral detection

Identifiers

PMID42534958
PMCPMC13422450

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.